Imagine a digital security guard that can tell if a video call or a voice message is a fake created by AI. It also scans the dark web to find where stolen identities are being traded. The goal is to give police better tools to catch scammers and teach regular people how to protect their data.
Criminals are using sophisticated AI tools like deepfakes and botnets to steal identities, leaving police and citizens unable to distinguish real media from fake.
A software toolset for audio/video deepfake detection and botnet detection, alongside a public-facing observatory for citizen education.
If you are a software provider dealing with the rise of AI-generated scams — this project developed a toolset for audio and video deepfake detection that improves the accuracy of fraud investigations.
If you are a bank dealing with sophisticated identity theft in e-banking — this project developed a system for detecting fake botnets and structured knowledge extraction that helps identify fraudulent patterns.
If you are a forensics firm dealing with the challenge of presenting e-evidence in court — this project developed research on the legal framework for AI remote technologies that supports the admissibility of digital evidence.
Based on available project data, no pricing or cost information is provided as this is a research project funded by the EU.
The project involves 12 partners and is developing a robust software toolset, but based on available project data, the current scale is for Law Enforcement Agencies and citizen education.
Based on available project data, specific licensing terms are not mentioned, though the project involves a consortium of 12 partners including SMEs and universities.
The project includes integration planning for the toolset into the EITHOS Observatory specifically designed for Law Enforcement Agencies.
The project period is from 2022-10-01 to 2025-09-30.
The consortium is diverse, consisting of 12 partners across 5 countries. It has a balanced mix of 3 universities, 3 research organizations, and 4 other entities, with a 17% industry ratio including 4 SMEs. This suggests a strong academic foundation with a targeted but limited transition to commercial application.
Contact ETHNIKO KENTRO EREVNAS KAI TECHNOLOGIKIS ANAPTYXIS in Greece
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